Building a cell-free biosensor for protein detection based on aptamers for target recognition and toeholds for signal generation
How does our biosensor work
Our system relays on three major building blocks:
1. How do we detect the presence of a target protein
To demonstrate the ability of our aptamer pair to bind to their target protein Thrombin we used microfluidics, and measured the fluorescence of the Cy3 probe which is attached to the second aptamer. If high levels of fluorescence are measured, this indicates that Thrombin was bound between the two aptamers.
Our experimental set up was as follows: the biotinylated Aptamer 1 was flown first, sticking to the surface of the chip.
Then, Thrombin (target protein) was flown only in the top half of the chip and finally the fluorescently labeled Aptamer 2 with trigger extension in the top and bottom half of the chip (see Figure 3a for schematics).
2. How do we generate a colorometric signal upon protein detection
To generate the signal upon the human Thrombin detection, we used toehold switches and the aptamer trigger that recognizes the human Thrombin.
In the graph below, we should the titration of the aptamer trigger we performed which show that a the toehold is trigger by this DNA at different concentrations
To see how the levels of absorbance translate to reactions in tubes, we prepared tube reactions of the toehold with and without the aptamer trigger extension to assess whether we could see the color change by eye.
3. Streamline toehold design by writing a software
Generating new toehold sensors requires in-silico processing. It is a quick step (~5 min) if a tool that pipelines the required processes is available. In the scope of our project we generated our own switches targeting Hepatitis C viral RNA and sucessfully proven that the toeholds are functional, i.e they unfolded only in the prescence of a complementary sequence to allow the translation of the downstream reporter lacZ.
We tested the ToeholdDesigner's output, and chosen the best 4 toeholds for a unique sequence of the Hepatitis C virus we have found using different online resources such as BLAST, in our home-made lysates.
As shown below, we demonstrate that we can design functional toeholds using ToeholdDesigner